Posts In Category

Data Science

While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.

Data ScienceEvents

Every year, data science experts, practitioners, and enthusiasts are known to flock to a variety of exciting and informative conferences around the world.  At these conferences, experts and luminaries in the field of data science will congregate to share experiences and ideas and inspire their colleagues in the industry. There

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Big DataFinance

Today, most banking, financial services, and insurance (BFSI) organizations are working hard to adopt a fully data-driven approach to grow their businesses and enhance the services they provide to customers. Like most other industries, analytics will be a critical game changer for those in the financial sector. Though many BFSI

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Big DataData Science 101Understanding Big Data

This article is a continuation of my first article, 25 Big Data terms everyone should know. Since it got such an overwhelmingly positive response, I decided to add an extra 50 terms to the list.  Just to give you a quick recap, I covered the following terms in my first

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Big DataData Science

Selecting a database technology to build your new application on is often a complex and even stressful process. While the business use case for the application is pretty straightforward, the nuances of the data platform that will power it are often much less clear, with the decision on what technology

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Big DataNews

Data security is being pushed to the top of the agenda by the new General Data Protection Regulation that comes into force next May, and that means a focus on issues that many organisations have neglected. Companies across the globe that process data about European Union (EU) individuals will need

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BI & Analytics

Simply put, non-subscription churn happens when users or customers, who can end their relationship with your business at any time, leave your website or sales funnel. These types of customers may gradually reduce their purchase frequency over time, or they may all of a sudden never buy again. Companies in nearly

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Big DataMarketing & SalesRetail & Consumer

The creation and consumption of data continues to rapidly grow around the globe with large investment in big data analytics hardware, software, and services. The availability of large data sets is one of the core reasons that Deep Learning, a sub-set of artificial intelligence (AI), has recently emerged as the hottest

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Big DataData Science

Agility and reactivity. These are two words more likely now than ever to feature in a corporate strategy session. Today’s business landscape is, after all, highly dynamic: increasing competition, margin pressures and the threat of disruptive innovation all conspire to erode the market shares of the complacent. The public sector

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big data innovation
Big DataUnderstanding Big Data

An innovation that creates a new value network and market, and disrupts an existing market and value network by displacing the leading, highly established alliances, products and firms is known as Disruptive Innovation.  Clayton M. Christensen and his coworkers defined and analyzed this phenomenon in the year 1995. But, every

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Data Science

The advent of a sharing economy has brought a sea of change to the way we commute in the city. The Lyfts of the world have made taxi riding convenient, affordable and safe. These rides have emerged as a strong alternative to public transport, clocking millions of rides per month

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